Coupled wake boundary layer model of wind-farms

Richard Johannes Antonius Maria Stevens, Dennice F. Gayme, Charles Meneveau

Research output: Contribution to journalArticleAcademicpeer-review

40 Citations (Scopus)

Abstract

We present and test a coupled wake boundary layer (CWBL) model that describes the distribution of the power output in a wind-farm. This model couples the traditional, industry-standard wake model approach with a “top-down” model for the overall wind-farm boundary layer structure. The wake model captures the effect of turbine positioning, while the “top-down” portion of the model adds the interactions between the wind-turbine wakes and the atmospheric boundary layer. Each portion of the model requires specification of a parameter that is not known a-priori. For the wake model, the wake expansion coefficient is required, while the “top-down” model requires an effective spanwise turbine spacing within which the model's momentum balance is relevant. The wake expansion coefficient is obtained by matching the predicted mean velocity at the turbine from both approaches, while the effective spanwise turbine spacing depends on turbine positioning and thus can be determined from the wake model. Coupling of the constitutive components of the CWBL model is achieved by iterating these parameters until convergence is reached. We illustrate the performance of the model by applying it to both developing wind-farms including entrance effects and to fully developed (deep-array) conditions. Comparisons of the CWBL model predictions with results from a suite of large eddy simulations show that the model closely represents the results obtained in these high-fidelity numerical simulations. A comparison with measured power degradation at the Horns Rev and Nysted wind-farms shows that the model can also be successfully applied to real wind-farms
Original languageEnglish
Article number023115
Pages (from-to)023115-1-023115-26
Number of pages26
JournalJournal of renewable and sustainable energy (AIP)
Volume7
Issue number023115
DOIs
Publication statusPublished - 2015

Keywords

  • METIS-310158
  • IR-95719

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